Intel
/

zoedepth-nyu-kitti

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 ---
+license: mit
+tags:
+- vision
+pipeline_tag: depth-estimation
 ---
+# ZoeDepth (fine-tuned on NYU and KITT)
+ZoeDepth model fine-tuned on the NYU and KITTI datasets. It was introduced in the paper [ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth](https://arxiv.org/abs/2302.12288) by Shariq et al. and first released in [this repository](https://github.com/isl-org/ZoeDepth).
+ZoeDepth extends the [DPT](https://huggingface.co/docs/transformers/en/model_doc/dpt) framework for metric (also called absolute) depth estimation, obtaining state-of-the-art results.
+Disclaimer: The team releasing ZoeDepth did not write a model card for this model so this model card has been written by the Hugging Face team.
+## Model description
+ZoeDepth adapts [DPT](https://huggingface.co/docs/transformers/en/model_doc/dpt), a model for relative depth estimation, for so-called metric (also called absolute) depth estimation.
+This means that the model is able to estimate depth in actual metric values.
+<img src="https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/zoedepth_architecture_bis.png"
+alt="drawing" width="600"/>
+<small> ZoeDepth architecture. Taken from the <a href="https://arxiv.org/abs/2302.12288">original paper.</a> </small>
+## Intended uses & limitations
+You can use the raw model for tasks like zero-shot monocular depth estimation. See the [model hub](https://huggingface.co/models?search=Intel/zoedepth) to look for
+other versions on a task that interests you.
+### How to use
+The easiest is to leverage the pipeline API which abstracts away the complexity for the user:
+```python
+from transformers import pipeline
+from PIL import Image
+import requests
+# load pipe
+depth_estimator = pipeline(task="depth-estimation", model="Intel/zoedepth-nyu-kitti")
+# load image
+url = 'http://images.cocodataset.org/val2017/000000039769.jpg'
+image = Image.open(requests.get(url, stream=True).raw)
+# inference
+outputs = depth_estimator(image)
+depth = outputs.depth
+```
+For more code examples, we refer to the [documentation](https://huggingface.co/transformers/main/model_doc/zoedepth.html#).
+### BibTeX entry and citation info
+```bibtex
+@misc{bhat2023zoedepth,
+      title={ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth},
+      author={Shariq Farooq Bhat and Reiner Birkl and Diana Wofk and Peter Wonka and Matthias Müller},
+      year={2023},
+      eprint={2302.12288},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV}
+}
+```